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Predictive machine learning model for microvascular invasion identification in hepatocellular carcinoma based on the LI-RADS system
PURPOSES: This study aimed to establish a predictive model of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) by contrast-enhanced computed tomography (CT), which relied on a combination of machine learning approach and imaging features covering Liver Imaging and Reporting and Data Sy...
Autores principales: | Yang, Xue, Shao, Guoqing, Liu, Jiaojiao, Liu, Bin, Cai, Chao, Zeng, Daobing, Li, Hongjun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686848/ https://www.ncbi.nlm.nih.gov/pubmed/36439486 http://dx.doi.org/10.3389/fonc.2022.1021570 |
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